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陈伟婷

副教授

软件工程学院      

个人资料

  • 部门: 软件工程学院
  • 毕业院校:
  • 学位:
  • 学历:
  • 邮编:
  • 联系电话: 021-62224020
  • 传真:
  • 电子邮箱: wtchen@sei.ecnu.edu.cn
  • 办公地址: 数学馆东213
  • 通讯地址: 中山北路3663号华东师范大学软件学院

教育经历

工作经历

个人简介

社会兼职

研究方向

模式识别,机器学习,深度学习,医学大数据分析,图像/视频理解

开授课程

科研项目

上海市自然基金面上项目“基于aEEG多尺度重构幅频等高图的新生儿脑功能状态辨识和预测”,2018-2021,主持

国家重点研发计划“物联网与智慧城市关键技术及示范”重点专项“智慧城市信息—物理融合关键技术开发与应用”,2019-2022,参与

焊接件缺陷AI识别演示项目,2019-2021,主持

复杂表面汽车零部件缺陷智能检测算法及系统研究,2019-2020,主持

“镜架变形移位测定仪”测量系统,2015~2016,主持

国家自然科学基金项目“基于aEEG的新生儿脑功能状态自动辨识研究”,2012~2014, 主持

上海市科委2016年“脑科学与类脑人工智能”重大项目“基于微芯片技术的脑活动多道记录系统”,2016-2019, 参与

国家自然科学基金面上项目“基于随机点过程的大规模事件数据的建模推断与控制”,2017~2020,参与

国家自然科学基金面上项目“海量众包数据管理的关键技术”, 2015~2018,参与

国家自然科学基金面上项目“XML个性化协作搜索及其在社会网络服务中的应用”,2012~2015,参与

“基于无线传输的医学诊断设备集成终端系统”,2013-2014,主持

国家自然科学基金专项基金项目“变化检测驱动的边缘约束条件随机场模型及其迁移学习”,2014年,参与

工信部2012年物联网发展专项资金项目(智能医疗领域)“基于物联网的社区远程医疗实时监测系统平台研制和产业化”,2012~2014,参与

进出口危险化学品分类鉴别与危险公示信息数据库系统,2013-2014,参与

上海市自然科学基金项目“自顶向下和自底向上相结合的图像分割方法研究”,2009-2011,参与

上海市科委基础研究项目“计算机辅助心电图异常识别与分类方法研究”,2008-2010,参与

学术成果

部分论文:

Renjie Zhao, Weiting Chen*, Guitao Cao. Edge-boosted U-Net for 2D Medical Image Segmentation. IEEE Access, 2019. 7(1): 171214-171222. (SCI)

Chengbin Huang, Weiting Chen*, Guitao Cao. Automatic Epileptic Seizure Detection via AttentionBased CNN-BiRNN, 2019 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2019)San Diego, CA, USANovember 18-21, 2019(EI)(CCF-B类会议)

Boyuan Tang , Weiting Chen*. A Description Scheme for Video Overview based on Scene Detection and Face Clustering. Journal of Circuits, Systems, and Computers, Accepted, To be appeared in 2021,30(1)SCI

Chengbin Huang, Renjie Zhao, Weiting Chen*, and Huazheng Li. Arrhythmia Classification with Attention-Based Res-BiLSTM-Net, Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting,2019.pp.3-10 (EI)

Gao Zhonghua., Chen Weiting*., Cao Guitao., Chen Peng. (2018) Pedestrian Detection with D-CNN.Communications in Computer and Information Science, vol 857. Springer, Singapore. pp.171-180 (EI)

Tao Yang, Weiting Chen*, Guitao Cao. Automated Classification of Neonatal Amplitude-integrated EEG based on Gradient Boosting Method. Biomedical Signal Processing and Control.2016, 28:50-57 SCI

Weiting Chen, Yu Wang, Guitao Cao, Guoqiang Chen, and Qiufang Gu. A Random Forest Model Based Classification Scheme for Neonatal Amplitude-Integrated EEG. BioMedical Engineering OnLine. 2014, 13(Suppl 2):S4 SCI

Weiting Chen, Jun Zhuang, Wangxin Yu, Zhizhong Wang. Measuring system complexity using FuzzyEn, ApEn, and SampEn. Medical Engineering and Physics. 2009,31(1): 61-68 (SCI)

Lei Li,Weiting Chen, Xiaomei Shao, Zhizhong Wang. Analysis of Amplitude-Integrated EEG in the Newborn Based on Approximate Entropy. IEEE Transactions on Biomedical Engineering. 2010, 57(10):2459-66. (SCI)

Weiting Chen, Zhizhong Wang, Hongbo Xie, Wangxin Yu. Characterization of surface EMG signal based on fuzzy entropy. IEEE Transactions on Neural Systems & Rehabilitation Engineering. 2007,15(2)266-272. (SCI)

Lizhe Liu, Weiting Chen*, Guitao Cao. Prediction of neonatal amplitude-integrated EEG based on LSTM method. 2016 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2016)ShenzhenChinaDec 15-18,2016 (EI)(CCF-B类会议)

Decheng Yang, Weiting Chen*Jiangtao WangYan Xu. Patch based face recognition via fast collaborative representation based classification and expression insensitive two-stage voting. The 16th International Conference on Computational Science and Applications (ICCSA 2016),Beijing, China. July 4 - 7, 2016 (EI)

Decheng Yang, Weiting Chen*. An illumination insensitive framework using robust illumination normalization and spectral regression kernel discriminant analysis for face recognition. IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC 2015), Ningbo, China. Sept.19-22,2015 (EI)

Guitao Cao, Ling Li, Weiting Chen, Yehua Yu, Jun Shi, Guixu ZhangXuehua Liu. Effective identification and localization of immature precursors in bone marrow biopsy.  Medical & Biological Engineering & Computing. 2015,53(3):215-26 (SCI

Yu Wang, Weiting Chen*, Kai Huang, and Qiufang Gu. Classification of Neonatal Amplitude-Integrated EEG Using Random Forest Model with Combined Features. The IEEE International Conference on Bioinformatics and Biomedicine (BIBM2013). Shanghai, China, December 18-21, 2013. (EICCF-B类会议)

Jiangying Chen,Weiting Chen*Shijin QianDelu Chen. The Magnetic Flux Leakage Signal Processing in Strip Steel Flaw Area Detection. The 2013 6th International Congress on Image and Signal Processing (CISP 2013). Hangzhou, China, December 16-18, 2013. (EI) 2013, 2(3):1096-1100EI

Yang Liu, Weiting Chen*, Su Yang, Kai Huang. Domain Adaptation to Automatic Classification of Neonatal Amplitude-Integrated EEG. The 12th IEEE International Conference on Intelligent Systems Design and Applications (ISDA 2012). Cochin, India, November, 10, 2012. (EI)

Su Yang, Weiting Chen*, Yang Liu, Lei Li, Zhizhong Wang. Detection of Neonatal Amplitude-Integrated EEG Based on Revised D-S Theory. The 12th IEEE International Conference on Computer and Information Technology (CIT2012). Chengdu, China, Oct 27th - Oct 29th, 2012. (EI)

Wangxin Yu, Zhizhong Wang, Weiting Chen. Selecting discriminant eigenfaces by using binary feature selection. Neural Computing & Applications. 2010,19(6): 911-918. (SCI)

Chen Weiting, Cao Guitao, Wang Zhizhong. Detection of an increase in EMG regularity during fatiguing contractions, Journal of Southeast University (English Edition). 2010.26(4) :541-545. (EI)

Heng Wu, Weiting Chen*, Zhongjie Ren. Securing Cookies with a MAC Address Encrypted Key Ring, 2010, The 2nd International Conference on Networks Security, Wireless Communications and Trusted Computing (NSWCTC 2010), April, Wuhan, China. 62-65. (EI)

Weiting Chen, Wangxin Yu, Guitao Cao. A new method assessing signal regularity2009, The 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD09), August, Tianjin, China.563-566. (EI)

Wangxin Yu, Zhizhong Wang, Weiting Chen. A new framework to combine vertical and horizontal information for face recognition. Neurocomputing. 2009,72(4-6): 1084-1091. (SCI).



专利:

一种aEEG信号图像特征重构表示和提取方法(发明专利),201611106785.6

一种基于高约束高分散主成分分析网络的图像分类方法(发明专利),201510530534.X

一种基于广域无线网络的移动医学诊断设备(实用新型专利),ZL201220244353.2



软件著作权:

毫米波人体影像中违禁品的检测和定位系统v1.0,开发完成时间:2018910日,登记号:2018SR1042183

基于场景分割的无监督视频描述系统,开发完成时间:2019年6月6日 ,登记号: 2019SR0976107

D-CNN行人检测系统V1.0,开发完成时间:2017611日,登记号:2017SR644785

基于视频的驾驶员头部姿态及疲劳状态监测系统V1.0,开发完成时间:2017711日。登记号:2017SR683926

基于Kinect的生理机能检测系统V1.0,开发完成时间:2017.3.17, 登记号:2017SR424762

基于深度视频图像的动作识别系统V1.0,开发完成时间:2017.3.15, 登记号:2017SR419084

进出口危险化学品分类鉴别与危险公示信息数据库系统,登记号:2014SR1652682014

基于Android平台的健康信息管理系统,开发完成时间:2015.5.15,登记号:2015SR178840

荣誉及奖励

招生信息

10 访问

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